Title
Characteristic Of Mutually Coupled Two-Layer CNN And Its Stability
Abstract
This paper presents some interesting image processing applications with the mutually coupled two-layer Cellular Neural Networks (CNNs). We found that the two-layer CNNs are very useful compared to single layer CNNs in some applications such as center point detection, skeletonization, and so on. We also focus our discussions on both their transients and operations. In addition, the stability of the two-layer CNNs with mutually coupled symmetric templates is also discussed based on those of decoupling CNN technique.
Year
DOI
Venue
2003
10.1142/S0218126603000982
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
Keywords
Field
DocType
two-layer CNN,template,center point detection,skeletonization,stability
Computer science,Decoupling (cosmology),Image processing,Electronic engineering,Skeletonization,Artificial intelligence,Template,Cellular neural network
Journal
Volume
Issue
ISSN
12
4
0218-1266
Citations 
PageRank 
References 
2
0.58
4
Authors
3
Name
Order
Citations
PageRank
Zonghuang Yang131.69
Yoshifumi Nishio222971.08
Akio Ushida36924.16